Arabic question answering system: a survey

Alwaneen, Tahani H.; Azmi, Aqil M.; Aboalsamh, Hatim A.; Cambria, Erik; Hussain, Amir

Abstract

Question answering is a subfield of information retrieval. It is a task of answering a question posted in a natural language. A question answering system (QAS) may be considered a good alternative to search engines that return a set of related documents. The QAS system is composed of three main modules; question analysis, passage retrieval, and answer extraction. Over the years, numerous QASs have been presented for use in different languages. However, the the development of Arabic QASs has been slowed by linguistic challenges and the lack of resources and tools available to researchers. In this survey, we start with the challenges due to the language and how these challenges make the development of new Arabic QAS more difficult. Next, we do a detailed review of several Arabic QASs. This is followed by an in-depth analysis of the techniques and approaches in the three modules of a QAS. We present an overview of important and recent tools that were developed to help the researchers in this field. We also cover the available Arabic and multilingual datasets, and a look at the different measures used to assess QASs. Finally, the survey delves into the future direction of Arabic QAS systems based on the current state-of-the-art techniques developed for question answering in other languages.

Citation

Alwaneen, T. H., Azmi, A. M., Aboalsamh, H. A., Cambria, E., & Hussain, A. (2022). Arabic question answering system: a survey. Artificial Intelligence Review, 55, 207-253. https://doi.org/10.1007/s10462-021-10031-1

• Journal Article Type: Article
• Online Publication Date: Jul 12, 2021
• Publication Date: 2022-01
• Deposit Date: Aug 9, 2021
• Journal: Artificial Intelligence Review
• Print ISSN: 0269-2821
• Electronic ISSN: 1573-7462
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 55
• Pages: 207-253
• DOI: https://doi.org/10.1007/s10462-021-10031-1
• Keywords: Arabic question answering system, Information retrieval, Question analysis, Answer extraction, Passage retrieval, Survey
• Public URL: http://researchrepository.napier.ac.uk/Output/2790336